Maximum entropy method in image processing

摘要: Maximum entropy has proved to be an enormously powerful tool for reconstructing images from many types of data. It a privileged position as the only consistent method combining different data into single image. been used most spectacularly in radio astronomical interferometry, where it deals routinely with up million pixels, and high dynamic range. We also give examples optical deconvolutions tomographic reconstructions illustrate generality application quality maximum images. Some data, such Fourier intensitites, are inadepquate themselves produce good The allows us incorporate extra, Prior knowledge about object being imaged, we this technique specectroscopy. nonlinearities inherent state-of-the-art example `blind' deconvolution which unknown is blurred point-spread-function: can recover both.